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Case Study: How we helped BMW build smart EV charging infrastructure through advanced data engineering
Challenge

BMW and PG&E needed advanced data infrastructure and simulation capabilities to support EV charging infrastructure placement, as well as a consumer-facing app helping drivers optimize their charge times and reduce greenhouse gas emissions.

Solution
  • Developed Monte Carlo simulation models to determine optimal EV charging station locations for PG&E infrastructure planning
  • Built scalable data pipelines using Apache Airflow to process millions of daily data points from multiple automaker fleets
  • Created algorithms integrating vehicle telemetry and grid data to optimize charging windows with renewable energy availability
  • Designed privacy-aware data architecture enabling competitive automakers to collaborate without exposing proprietary information
  • Developed stakeholder visualization tools to communicate technical outcomes to utility executives and regulatory bodies
Results
  • Strategic infrastructure investments through sophisticated charging scenario simulations for optimal station placement
  • Successfully processed complex multi-tenant data streams with capacity to scale for future automaker partnerships
  • Achieved renewable energy alignment by shifting EV charging schedules to periods of high solar availability and low grid demand
  • Facilitated unprecedented collaboration between competing automakers through secure data sharing architecture
  • Supported informed decision-making across diverse stakeholders through intuitive technical visualizations and accessible reporting

ISC's highly scalable data ingestion pipeline allowed BMW to analyze millions of vehicle charge events from a consortium of automakers while maintaining data privacy. This in turn enabled over 1 million miles powered by 100% renewable energy, and 32% additional greenhouse gas emission reductions.

ISC's experience with data engineering, algorithm development, and simulation tools allowed BMW's EV customers to take advantage of lower-priced charging while helping to lower overall emissions by shifting to renewable sources.

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